Founder & CEO
Profile summary: Invarium AI • Founder · BS at Indian Institute of Technology, Guwahati
Invarium
Invarium provides an automated testing platform for AI agents that generates thousands of test cases from the agent’s code, maps all execution paths, and simulates edge‑case scenarios.
- Artificial Intelligence
- AI Agents
- Developer Tools
Updated 4 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Developers of AI agents lack comprehensive testing that covers the thousands of possible execution paths, leading to undetected failures such as unsafe actions, incorrect tool usage, hallucinations, or privacy leaks. Manual testing of complex flows is time‑consuming and cannot reliably ensure agent reliability before deployment.
Solution
Invarium offers a platform that automatically generates test cases from an agent’s codebase, maps every possible execution path, and simulates edge‑case scenarios. The system runs these tests against the agent, scores outcomes on safety, reasoning, tool usage, and other behavioral dimensions, and produces a reproducible health report with a pass/fail verdict for each release. Data privacy is protected through edge‑side PII redaction and on‑premise endpoint calls, while a free tier lets teams evaluate their first agent without upfront cost.
Target Audience
Primary customers are AI development teams building autonomous agents for e‑commerce, enterprise automation, or other high‑risk applications that require rigorous behavioral testing before production.
Features
- Automatic test case generation from the agent’s source code, covering tens of thousands of potential paths
- Agent Intelligence Graph that visualizes all execution paths and highlights risk levels with color coding
- Large‑scale simulation engine that runs generated tests and records failures across categories such as safety, reasoning, tool usage, and context handling
- Quantitative health scoring (Agent Quality Score, Agent Safety Score) with configurable thresholds for deployment readiness
- Detailed, reproducible health reports that include actionable recommendations for each failure
- Edge‑level PII redaction and optional on‑premise endpoint invocation to keep proprietary data private
- Free tier providing unlimited test runs on a per‑conversation‑turn credit model, enabling early adoption